Create a new QuantileOutlierRejector instance.
Create a new QuantileOutlierRejector instance.
whether to reject outliers in the first quantile
whether to reject outliers in the last quantile
number of buckets (quantiles, or categories) into which data points are grouped, must be greater than or equal to 2
precision of the underlying Algebird QTree approximation
Create a new QuantileOutlierRejector from a settings object
Create a new QuantileOutlierRejector from a settings object
Settings object
Reject values in the first and/or last quantiles defined by the number of buckets in the
numBuckets
parameter.The bin ranges are chosen using the Algebird's QTree approximate data structure. The precision of the approximation can be controlled with the
k
parameter.All values are transformed to zeros.
Values in the first and/or last quantiles are rejected as FeatureRejection.Outlier.
When using aggregated feature summary from a previous session, values outside of previously seen
[min, max]
will also report FeatureRejection.Outlier as rejection.